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Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Cost-Effective AI: Deterministic AI vs Machine Learning — When Traditional Algorithms Win

Authors: Ivchenko, Oleh;

Cost-Effective AI: Deterministic AI vs Machine Learning — When Traditional Algorithms Win

Abstract

Analysis of 156 enterprise AI implementations reveals that 34% of deployed ML systems would achieve equal or superior outcomes with deterministic algorithms at 85-95% lower costs. This research provides a 14-factor decision matrix for algorithm selection and introduces the Deterministic-First architecture pattern.

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Keywords

machine learning, cost-effective AI, enterprise AI, algorithm selection, deterministic algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green